Positive pairs are created from a single training image, as in the self-supervised learning methods [1]}, [2]}.
Specifically, the first sample is generated by applying our data augmentation pipeline described in Section REF , and another one is generated by applying standard data augmentations including resize, crop, and flip.
For the negative pairs, all possible combination pairs are used except the positive pairs.
